A New Rough Set Approach to Multicriteria and Multiattribute Classification
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Dominance relation and rules in an incomplete ordered information system
International Journal of Intelligent Systems
Interval ordered information systems
Computers & Mathematics with Applications
Knowledge reduction and matrix computation in inconsistent ordered information systems
International Journal of Business Intelligence and Data Mining
Uncertainty Measures of Roughness of Knowledge and Rough Sets in Ordered Information Systems
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
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Entropy theory is a useful measure of uncertainty about the information systems. In this paper, we address uncertainty roughness measures of knowledge and rough sets by introducing rough entropy, and some of its important properties are given, then we prove the rough entropy is more accurate than the rough degree to measure the roughness of rough sets in interval ordered information systems and through some examples are illustrated.These results will be very helpful for understanding the essence of knowledge content and uncertainty measurement in future research works of interval ordered information.